Machine Learning and Artificial Intelligence
About This Course
Join DeepLearn Academy's 6-month online course on Machine Learning and Artificial Intelligence, designed to transform beginners into skilled practitioners. Explore core concepts like supervised and unsupervised learning, neural networks, and deep learning through hands-on projects and expert-led sessions. Perfect for aspiring data scientists and tech enthusiasts, this comprehensive program equips you with the tools to build intelligent systems and thrive in the AI-driven world.
Course Content
Orientation Session: Introduction and Course Structure
Recorded Video • 60 minutes
Module -1 - Python for machine learning - Package Installations & Python Basics
Recorded Video • 60 minutes
Module 1 - Python For Machine Learning - Basics - Part - 1
Recorded Video • 60 minutes
Module 1 - Python For Machine Learning - Array handling, slicing, matrix, numpy, pandas practice
Recorded Video • 60 minutes
Module 1 - Python For Machine Learning - List, Dictionary, Panda, Basics EDA
Recorded Video • 60 minutes
Module 1 - Python For Machine Learning
Recorded Video • 60 minutes
Module 1 - Python For Machine Learning - miscellaneous + Assignments
Recorded Video • 60 minutes
Module 2 - Introduction to Statistics for Machine Learning – Understanding the 3Ms & Central Tendency
Recorded Video • 60 minutes
Module 2 - Statistics Key Concepts for Machine Learning
Recorded Video • 60 minutes
Module 2 - Statistics: Central Limit Theorem & Probability for Machine Learning
Recorded Video • 60 minutes
Module 2 - Statistics: Probability Rules for Machine Learning
Recorded Video • 60 minutes
Module 2 - Bayes’ Theorem: Understanding and Practical Applications
Recorded Video • 60 minutes
Module 2 - Statistics: Hypothesis Testing, Type I & II Errors, and T-Test
Recorded Video • 60 minutes
Module 2 - Statistics: ANOVA and Chi-Square Test with Examples
Recorded Video • 60 minutes
Module 2 - Statistics: Probability Density Function (PDF) Explained
Recorded Video • 60 minutes
Module 2 - Statistics: Final Session – Summary, Insights, and Conclusion
Recorded Video • 60 minutes
Module 3 - Introduction to Exploratory Data Analysis (EDA)
Recorded Video • 60 minutes
Module 3 - EDA: Handling Outliers and Data Preprocessing
Recorded Video • 60 minutes
Module 3 - Understanding Outliers and Detection Techniques
Recorded Video • 60 minutes
Module 3 - Outlier Removing Techniques in Data Analysis
Recorded Video • 60 minutes
Module 3 - Data Preprocessing and Feature Engineering for Machine Learning
Recorded Video • 60 minutes
Module 3 - Understanding Synthetic Data Generation & Data Connectivity Engine with Python
Recorded Video • 60 minutes
Unlocking Your Data's Potential: A Beginner's Guide to Power BI - Part-1
Recorded Video • 15 minutes
Unlocking Your Data's Potential: A Beginner's Guide to Power BI - Part-2
Recorded Video • 15 minutes
Unlocking Your Data's Potential: A Beginner's Guide to Power BI - Part-3
Recorded Video • 15 minutes
Unlocking Your Data's Potential: A Beginner's Guide to Power BI - Part-4
Recorded Video • 15 minutes
Module - 4 - Machine Learning - Session 1 - Part 1
Recorded Video • 20 minutes
Module - 4 - Machine Learning - Session 1 - Part 2
Recorded Video • 20 minutes
Module - 4 - Machine Learning - Session 1 - Part 3
Recorded Video • 20 minutes
Module - 4 - Machine Learning - Session 2 - Part 1
Recorded Video • 30 minutes
Module - 4 - Machine Learning - Session 2 - Part 2
Recorded Video • 30 minutes
Module - 4 - Machine Learning - Session 2 - Part 3
Recorded Video • 30 minutes
Module - 4 - Machine Learning - Session 3 - Linear Regression and Gradient Descent - Part - 1
Recorded Video • 30 minutes
Module - 4 - Machine Learning - Session 3 - Linear Regression and Gradient Descent - Part - 2
Recorded Video • 30 minutes
Module - 4 - Machine Learning - Session 4 - Model Evaluation Metrics - Part - 1
Recorded Video • 30 minutes
Module - 4 - Machine Learning - Session 4 - Model Evaluation Metrics - Part - 2
Recorded Video • 30 minutes
Module - 4 - Machine Learning - Session 4 - Model Evaluation Metrics - Part - 3
Recorded Video • 20 minutes
Module - 4 - Machine Learning - Session 4 - Model Evaluation Metrics - Part - 4
Recorded Video • 20 minutes
Module - 4 - Machine Learning - Session 4 - Model Evaluation Metrics - Part - 5
Recorded Video • 20 minutes
Module - 4 - Machine Learning - Session 5 - Introduction to Logistic Regression - Part 1
Recorded Video • 20 minutes
Module - 4 - Machine Learning - Session 5 - Introduction to Logistic Regression - Part 2
Recorded Video • 20 minutes
Module - 4 - Machine Learning - Session 5 - Introduction to Logistic Regression - Part 3
Recorded Video • 20 minutes
Module - 4 - Machine Learning - Session 6 - Precision, Recall, F1 score, AUC - Part - 1
Recorded Video • 20 minutes
Module - 4 - Machine Learning - Session 6 - Precision, Recall, F1 score, AUC - Part - 2
Recorded Video • 20 minutes
Module - 4 - Machine Learning - Session 6 - Precision, Recall, F1 score, AUC - Part - 3
Recorded Video • 20 minutes
Module - 4 - Machine Learning - Session 7 - K Nearest Neighbors (KNN): Concept & Practical Implementation - Part - 1
Recorded Video • 20 minutes
Module - 4 - Machine Learning - Session 7 - K Nearest Neighbors (KNN): Concept & Practical Implementation - Part - 2
Recorded Video • 20 minutes
Module - 4 - Machine Learning - Session 7 - K Nearest Neighbors (KNN): Concept & Practical Implementation - Part - 3
Recorded Video • 20 minutes
Module - 4 - Machine Learning - Session 7 - K Nearest Neighbors (KNN): Concept & Practical Implementation - Part - 4
Recorded Video • 15 minutes
Module - 4 - Machine Learning - Session 8 - Support Vector Machines Made Simple - Part 1
Recorded Video • 25 minutes
Module - 4 - Machine Learning - Session 8 - Support Vector Machines Made Simple - Part 2
Recorded Video • 25 minutes
Module - 4 - Machine Learning - Session 8 - Support Vector Machines Made Simple - Part 3
Recorded Video • 20 minutes
Module - 4 - Machine Learning - Session 9 - SVM Practicals
Recorded Video • 60 minutes
Module - 4 - Machine Learning - Session 10 - Discovering Hidden Patterns: Unsupervised Learning with K-Means Clustering
Recorded Video • 60 minutes
Module 4 - Machine Learning - Session - 11 - Choosing the Right Number of Clusters - Using Elbow and Silhouette Method
Recorded Video • 60 minutes
Module 4 - Machine Learning - Session - 12 - Silhouette Method & DBSCAN – Smarter Clustering in Machine Learning
Recorded Video • 60 minutes
General Recap + Review + QA discussion - From Rules to Reinforcement: Exploring the Evolution of Machine Learning Systems
Recorded Video • 60 minutes
Module 5 - Ensemble Techniques in Machine Learning
Recorded Video • 60 minutes
Module 5 - Ensemble Techniques in Machine Learning - Recap + Practical insights
Recorded Video • 60 minutes
Module 5 - Learning Decision Trees & Random Forest
Recorded Video • 60 minutes
Module 5 - Random Forest Theory and Practical Implementation
Recorded Video • 60 minutes
Machine Learning Recap & Revision – Bridging the Gap After Diwali Vacations
Recorded Video • 60 minutes
Module 5: Ensemble Learning: Bagging & Boosting Made Easy
Recorded Video • 60 minutes
Module 5 - Ensemble Learning: Stacking vs Blending Explained
Recorded Video • 60 minutes
Module 6 - Model Selection & Tuning — Fine-Tuning Models for Maximum Accuracy
Recorded Video • 60 minutes
Module 6 - Practical ML: Random Search & Essential Feature Engineering
Recorded Video • 60 minutes
Module 6 - Data Leakage & Pipeline Creation in Machine Learning
Recorded Video • 60 minutes
Module 7 - Featurization Techniques: Turning Raw Data into Model-Ready Insights
Recorded Video • 60 minutes
Module 7 - PCA [Dimensionality Reduction] Unlocking Patterns in High-Dimensional Data
Recorded Video • 60 minutes
Module 7 - From Text to Numbers: TF-IDF & Word2Vec – The Two Techniques Behind 90% of Real-World NLP Projects
Recorded Video • 60 minutes
Module 8 - Unlocking the Power of Recommendation Systems: From Content-Based to Collaborative Filtering
Recorded Video • 60 minutes
Module 8 - Movie Recommendation Systems: Practical Content-Based & Collaborative Filtering
Recorded Video • 60 minutes
Module 8 - Recommendation Systems: SVD, Pearson Correlation & Collaborative Filtering
Recorded Video • 60 minutes
Module 9 - Pixels to Pictures: The Magic of Image Processing
Recorded Video • 60 minutes
Module 9 - Understanding Convolutions: The Power Behind CNNs
Recorded Video • 60 minutes
Module 9 - Visualizing Convolution: From Kernels to Feature Maps - Practical on Handwritten digits identification - MNIST Dataset
Recorded Video • 60 minutes
Module 9 - Hands-On Computer Vision: Face & Human Detection Essentials
Recorded Video • 60 minutes
Module 10 - Neural Networks & Deep Learning: Build the Brain Behind AI
Recorded Video • 60 minutes
Module 10 - Activation Functions & Their Role in Deep Learning
Recorded Video • 60 minutes
Module 10 - Backpropagation and Optimization Techniques in Deep Learning
Recorded Video • 60 minutes
Module 10 - From Zero to Deployment: Deep Learning for Real-World Applications
Recorded Video • 60 minutes
Module 10 - Deep Learning Essentials: Dropout, Overfitting & Batch Norm with Live Implementation
Recorded Video • 60 minutes
Module 11 - Neural Networks to NLP: The Essential Bridge to Understanding Human Language AI
Recorded Video • 60 minutes
Module 11 - [NLP] Text Intelligence: From Representation to Sentiment Analysis
Recorded Video • 60 minutes
Module 11 - Hands-On NLP: Code & Create - Practical
Recorded Video • 60 minutes
Module 11 - Introduction to Hugging Face: Bridging Humans and Transformers
Recorded Video • 90 minutes
Module 11 - Hands-on with Hugging Face – Saving & Loading Models, Tokenizers, and Pipelines
Recorded Video • 60 minutes
Module 11 - Mastering Transformer Fine-Tuning: Build Smarter NLP Models with Hugging Face
Recorded Video • 60 minutes
Module 12 - Unlocking the Power of Large Language Models (LLMs): From GPT to Prompt Engineering
Recorded Video • 60 minutes
Module 12 - Mastering Prompt Engineering & Building Local LLM Applications
Recorded Video • 60 minutes
Module 12 - LSTM from Scratch: Building a Mini Text Generator
Recorded Video • 60 minutes
Module 13 - Learning LangChain & RAG: Build Next-Gen AI Applications
Recorded Video • 60 minutes
Module 13 - LangChain + RAG: The Future of Intelligent AI Apps
Recorded Video • 60 minutes
Module 13 - LangChain: Building Intelligent Applications with LLMs
Recorded Video • 60 minutes
Module 13 - Building Intelligent Document Q&A: From RAG Mastery to Advanced AI Agents
Recorded Video • 60 minutes
Module 13 - Agentic AI in Action: LangGraph, MCP, and Browser Automation
Recorded Video • 60 minutes
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